ScreenIT
The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.
Latest preprint reviews
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Vaccine hesitancy for COVID-19 explored in a phenomic study of 259 socio-cognitive-behavioural measures in the UK-REACH study of 12,431 UK healthcare workers
This article has 19 authors:Reviewed by ScreenIT
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Stressors, manifestations and course of COVID-19 related distress among public sector nurses and midwives during the COVID-19 pandemic first year in Tasmania, Australia
This article has 3 authors:Reviewed by ScreenIT
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A descriptive analysis of 2020 California Occupational Safety and Health Administration covid-19-related complaints
This article has 8 authors:Reviewed by ScreenIT
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Trajectory of long covid symptoms after covid-19 vaccination: community based cohort study
This article has 9 authors:Reviewed by ScreenIT
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Population Optimally Immunized after Accounting for Type-Specific COVID-19 Vaccine Waning Intervals: State-Level Prevalence and Trends
This article has 2 authors:Reviewed by ScreenIT
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Examining the psychological and financial impact of travel restrictions on citizens and permanent residents stranded abroad during the COVID-19 pandemic: international cross-sectional study
This article has 6 authors:Reviewed by ScreenIT
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Racial and ethnic disparities in coronavirus disease 2019 disease incidence independent of comorbidities, among people with HIV in the United States
This article has 26 authors:Reviewed by ScreenIT
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Trust in the scientific research community predicts intent to comply with COVID-19 prevention measures: An analysis of a large-scale international survey dataset
This article has 1 author:Reviewed by ScreenIT
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Safety and Immunogenicity of SARS-CoV-2 S-2P Protein Vaccine MVC-COV1901 in People Living with HIV
This article has 18 authors:Reviewed by ScreenIT
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SPECIFIC DETECTION OF SARS-COV-2 B.1.1.529 (OMICRON) VARIANT BY FOUR RT-qPCR DIFFERENTIAL ASSAYS
This article has 13 authors:Reviewed by ScreenIT